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Topic · Computer Vision and Pattern Recognition

Currency Recognition and Detection

Currency Recognition and Detection is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 6.6k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on automated recognition and authentication of paper currency and coins using techniques such as image processing, deep learning, neural networks, and feature extraction. The research covers various aspects including banknote security, counterfeit detection, and assistance for the visually impaired.

  • Currency Recognition
  • Banknote Recognition
  • Coin Classification
  • Image Processing
  • Deep Learning
  • Neural Network
  • Counterfeit Detection
  • Visually Impaired
  • Feature Extraction
  • Pattern Recognition
Research works
6.6k
fractional, since 1950
In the world top 10%
668
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+86%
the tick is no change
Largest producer
India
44% of the 10 largest, 2022-now
Currency Recognition and Detection

Which countries lead Currency Recognition and Detection research?

By volume, India and China publish the most (1k and 597 works in 2022-now).

By volume, 2022-now

  1. 1 India 1k works
  2. 2 China 597 works
  3. 3 United States 163 works
  4. 4 Indonesia 126 works
  5. 5 Türkiye 84 works
  6. 6 ?? 81 works
  7. 7 Malaysia 71 works
  8. 8 Iraq 59 works
  9. 9 Bangladesh 54 works
  10. 10 United Kingdom 49 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

India: 44.3%China: 25.9%United States: 7.1%Indonesia: 5.5%6 others listed: 17.3%44%largest
India1,020 · 44.3%China597 · 25.9%United States163 · 7.1%Indonesia126 · 5.5%6 others listed398 · 17.3%

Shares of the rows listed above, not of the whole node.

Which institutions lead Currency Recognition and Detection research?

By volume in 2022-now, Saveetha University publishes the most Currency Recognition and Detection research, followed by SRM Institute of Science and Technology and Vellore Institute of Technology University.

By volume, 2022-now

  1. 1 Saveetha UniversityIndia 40 works
  2. 2 SRM Institute of Science and TechnologyIndia 36 works
  3. 3 Vellore Institute of Technology UniversityIndia 28 works
  4. 4 Chitkara UniversityIndia 27 works
  5. 5 Savitribai Phule Pune UniversityIndia 21 works
  6. 6 Amrita Vishwa VidyapeethamIndia 21 works
  7. 7 Graphic Era UniversityIndia 20 works
  8. 8 Chandigarh UniversityIndia 19 works
  9. 9 Koneru Lakshmaiah Education FoundationIndia 16 works
  10. 10 Tribhuvan UniversityNepal 15 works

What are the most cited papers in Currency Recognition and Detection?

The most cited paper in Currency Recognition and Detection is "Deep learning in agriculture: A survey" (Andreas Kamilaris, Francesc Xavier Prenafeta-Boldú, 2018), with 5,070 citations. Next come "Deep learning and its applications to machine health monitoring" (2,854) and "Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions" (2,558).

Most cited papers
#PaperReleasedCitations
1 Deep learning in agriculture: A survey Andreas Kamilaris, Francesc Xavier Prenafeta-Boldú · Computers and Electronics in Agriculture Open access 22 Feb 2018 5,070
2 Deep learning and its applications to machine health monitoring Rui Zhao, Ruqiang Yan, Zhenghua Chen et al. · Mechanical Systems and Signal Processing 14 Jun 2018 2,854
3 Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions Iqbal H. Sarker · SN Computer Science Open access 18 Aug 2021 2,558
4 Activation functions in deep learning: A comprehensive survey and benchmark Shiv Ram Dubey, Satish Kumar Singh, B.B. Chaudhuri · Neurocomputing 3 Jul 2022 1,226
5 A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning Shaveta Dargan, Munish Kumar, Maruthi Rohit Ayyagari et al. · Archives of Computational Methods in Engineering Jun 2019 1,213
All 100 most cited papers, with filters and sorting

Where is Currency Recognition and Detection research done?

The largest centres of Currency Recognition and Detection research in 2022-now are Chennai (India), Beijing (China), Pune (India) and Bengaluru (India). Among places with at least 20 works in it, it is an unusually large share of all research in Vijayawada and Greater Noida.

Largest cities, 2022-now

  1. 1 ChennaiIndia 133 works
  2. 2 BeijingChina 103 works
  3. 3 PuneIndia 56 works
  4. 4 BengaluruIndia 54 works
  5. 5 CoimbatoreIndia 48 works
  6. 6 ShanghaiChina 38 works
  7. 7 DhakaBangladesh 34 works
  8. 8 Dehra DūnIndia 33 works
  9. 9 HyderabadIndia 33 works
  10. 10 Xi'anChina 31 works

Where it is the local speciality

  1. VijayawadaIN · 27.2 works20×
  2. Greater NoidaIN · 25.4 works13×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Currency Recognition and Detection than the world average.

See Currency Recognition and Detection on the map

Where is the best place to study Currency Recognition and Detection?

Among universities, judged by research, Vellore Institute of Technology University, Graphic Era University and Savitribai Phule Pune University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%10%20%mean 10.11%fractional works in this field (log) →share of work in the world top 10% →Vellore Institute of…Graphic Era UniversitySavitribai Phule Pun…Saveetha University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Vellore Institute of Technology UniversityIndia 85.219.6%10.6×28 +96.8%
2Graphic Era UniversityIndia 81.916.4%21.4×20 +486.6%
3Savitribai Phule Pune UniversityIndia 70.315.9%19.3×21 +122.3%
4Saveetha UniversityIndia 66.95.5%15.8×40 +1402.0%
5Chitkara UniversityIndia 65.68.9%25.6×26 +414.9%
6Chandigarh UniversityIndia 63.511.3%12.9×19 +549.6%
7SRM Institute of Science and TechnologyIndia 58.54.6%13.1×36 +207.8%
8Koneru Lakshmaiah Education FoundationIndia 53.38.0%20.7×16 +141.0%
9Amrita Vishwa VidyapeethamIndia 52.34.9%14.6×21 +34.4%
10Sathyabama Institute of Science and TechnologyIndia 50.36.0%24.9×14 +109.8%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Currency Recognition and Detection, country by country

Is Currency Recognition and Detection research growing?

Output in 2022-2025 was 86% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Currency Recognition and Detection.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Currency Recognition and Detection as a percentage of every work published that year, 0.016% in 2024.

still counting0.010%0.020%Currency Recognition and Detection0.012% in 202519801990200020102020

Fractional works of Currency Recognition and Detection over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Currency Recognition and Detection10.5% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

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